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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14269
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    Explanations

    terms related to frequency and commonality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IntoConstraints
    -0.68
    StoryboardSegue
    -0.67
     BoxFit
    -0.61
    Personendaten
    -0.59
     Normdatei
    -0.57
     GenerationType
    -0.56
     onCreateView
    -0.56
    bootstrapcdn
    -0.56
     propOrder
    -0.56
     AssemblyVersion
    -0.56
    POSITIVE LOGITS
     frequent
    1.02
     frequently
    0.94
     frequency
    0.90
     Frequent
    0.82
     frecu
    0.80
     freq
    0.80
     frequ
    0.79
    Frequent
    0.79
    frequently
    0.79
     Frequency
    0.78
    Activations Density 0.373%

    No Known Activations